Since the traditional guidance technology of the AGV (Automatic Guidance Vehicle) has high environmental requirements and insufficient guidance flexibility, an positioning and guidance system of the AGV is proposed based on an UWB (Ultra WideBand) indoor positioning technology. Firstly, a time-based bidirectional ranging method is combined with a multi-base station positioning algorithm to locate the AGV. Secondly, the error generated by the positioning result is compensated to obtain the most accurate AGV actual coordinates. Thirdly the path of the AGV in the actual environment is programmed by using the weighted A* algorithm under different road conditions. The experimental result shows that the AGV with UWB indoor positioning technology has advantages of a high guiding flexibility, simple to use, good safety, stability, and high practical value.
This paper aims at the difficulty of detecting the size limit of small modulus gear, using machine vision inspection method which is popular in precision measurement to build a rapid gears detection system. Firstly,a series of image preprocessing operations such as grayscale processing, filtering, binarization, and morphological processing are implemented,excluding the background image,and the clear gear target is obtained. Then, the gear contour is detected and the gear feature points are identified. Extract the points on the teeth,and the automatic detection of the number of teeth and the accurate identification of missing teeth are achieved.